Blog
Discover how AIPOCH Skills and AI agents like OpenClaw assist scientific research.
Open Science’s First Three Steps: From Making the Workflow Work to Putting Model Choice in Users’ Hands
Over the past few days, AIPOCH have been iterating on [Open Science](https://www.aipoch.com/open-science) in public and with full transparency. In just three days, we released versions v0.1.0, v0.1.1, and v0.1.2.
How Does Claude Science Handle Scientific Reproducibility?
A technical breakdown of how Claude Science's storage model approaches scientific reproducibility — versioned Artifacts, provenance capture, execution logs, and where the system's limits lie.
Claude Science Review: Bioinformatics Paper Reproduction — What Reproduced and What Didn't
Claude Science reproduced Figures 1–14 of a breast cancer bioinformatics paper using Opus alone — 2 skills, 0 MCP calls. Here's what worked, what didn't, and why it matters.
Biomedical AI Research Workflow: Why Infrastructure Beats Model Capability
The real competition in biomedical AI isn't model capability — it's workflow infrastructure.
AI Bioinformatics Workflow Tool: What Researchers Actually Need in 2026
AI workbenches are reshaping bioinformatics in 2026. But workflow structure and reproducibility matter more than raw model capability. Here's what the research community is really asking.
What Is MedSkillAudit and How Does It Audit Medical Research Agent Skills?
Discover how MedSkillAudit assesses medical research AI agent skills through Skill Veto, Research Veto, static evaluation, dynamic testing, and release-readiness scoring.
Medical Research Data Analysis Deserves a Higher Standard
AI made medical research analysis faster to start. But speed and correctness aren't the same thing — and the gap is costing researchers more than they realize.
Prognostic Nomogram Construction AI Agent Workflow (2026)
Learn how the AIPOCH Nomogram Construction skill builds Cox-based prognostic nomograms from clinical CSV data, computes C-index, and renders Nomogram PDFs.
Population Gap Detector: AI Tool for Research Gap Analysis
Detect underrepresented populations and subgroup evidence gaps in biomedical research with AIPOCH's Population Gap Detector — a free, open-source AI agent skill on GitHub.
Decision Curve Analysis: A Practical Guide for Clinical Prediction Models
Learn how to perform, interpret, and report Decision Curve Analysis (DCA) for clinical prediction models. Explore net benefit, decision curves, and AI-powered workflow support with AIPOCH.
How to Identify Methodological Gaps in Research: A Biomedical Gap Analysis Framework
Learn how to identify methodological gaps and research design weaknesses in biomedical studies using AI. Method Gap Detector analyzes design flaws, validation gaps & reproducibility issues.
Claude Fable 5 Is Out — Here's What We Ran Into on Day One
Anthropic launched Claude Fable 5 on June 9, 2026. During normal use of a biomedical research workflow, we encountered the Opus 4.8 safety fallback firsthand.
How Does GSVA Pathway Enrichment Analysis Work in a Bulk RNA-Seq Research Workflow?
Learn how AIPOCH's GSVA Analysis And Visualization skill runs KEGG/MSigDB pathway scoring, limma differential analysis, and heatmap generation from bulk RNA-seq data.
How to Design a Mendelian Randomization Study with AI in 2026?
Learn how to design a complete Mendelian randomization study with AI in 2026. Choose GWAS sources, instrument selection criteria, primary MR methods, and robustness checks.
Translational Study Blueprint: Map Your Biomarker Evidence Path with AI
AIPOCH's Translational Study Blueprint skill helps researchers define translational milestones and validation thresholds for diagnosis, prognosis, treatment response, stratification, and drug development.
How to Compute ESTIMATE Immune Score from Bulk RNA-Seq: An AI Agent Workflow
AIPOCH's Estimate Immune Score Analysis skill computes ImmuneScore, StromalScore, and TumorPurity from bulk RNA-seq expression matrices with structured heatmap and grouped comparison outputs.An optional sample group file can also be provided in CSV or TSV format. This file is used for grouped boxplots and significance testing when researchers want to compare ESTIMATE scores across predefined sample groups.
How to Generate Cox Survival Model Calibration Curves: An AI Agent Workflow Guide
Learn how the AIPOCH Model Calibration Curve skill can help researchers generate bootstrap calibration curves for Cox survival models from clinical CSV files.
How to Run ssGSEA Immune Infiltration Analysis with an AI Agent Skill
ssGSEA immune infiltration analysis estimates the relative enrichment of immune-cell marker gene sets, then compares those scores across study groups. The ssGSEA Immune Infiltration agent skill from AIPOCH packages this repetitive computation into a documented, reproducible workflow that researchers can run on their own expression matrices and review.
How Can AI Agents Run Immune Pathway Analysis from Bulk RNA-seq Data?
Learn how the AIPOCH Immune Pathway Analysis skill automates GSVA and ssGSEA scoring, limma differential ranking, and heatmap generation for bulk RNA-seq workflows.
How to Find Research Gaps in Medical Research Using AI Agent Skills
AI agent skills can support medical research gap analysis through literature retrieval, evidence mapping, and structured research workflows. Learn how AIPOCH Medical Research Gap Finder helps researchers organize biomedical literature and surface literature-supported research gap candidates for further evaluation.
arXiv preflight: How Can AI Agents Check a Manuscript Before arXiv Submission?
arXiv now bans authors for unreviewed LLM output. The arXiv Preflight agent skill from AIPOCH helps researchers scan for LLM artifacts, hallucinated references, and placeholder data before submission — and outputs a graded fix list. Free on GitHub.